2025年1月31日 · In this work, we investigate four GNNs architectures for the Prognosis of Patients in Coma (PPC) using EEG data. Our graph classification approach incorporates convolutional-based layers specifically designed for graph data, allowing the exploration of spatial relationships between electrodes due to the representation of the EEG examination in ...

2021年4月7日 · 今天介绍另一篇基于 策略梯度 的 MARL 算法——COMA ，全称为counterfactual multi-agent (COMA) policy gradients。论文发表在2018年的AAAI上，由牛津大学Shimon Whiteson教授领导的Whiteson Research Lab团队成员合作发表。

For example, the number of lesions detected by FLAIR and T2* sequences has been shown to be inversely correlated with the Glasgow Coma Scale (GCS) of traumatic patients in a coma. The presence of lesions in the corpus callosum and the dorsal midbrain has been shown to be correlated with lack of recovery at group level in coma patients[ 47 , 48 ].

2017年10月24日 · In our paper, we analyze the dynamic connectivity for brain death and coma EEG data, build the brain network based on graph theory and compare the brain connectivity features for each group to differentiate the two groups.

Conventional wisdom in determining coma-outcome trajectories posits that (1) predictive models are better than personal experiences, (2) self-fulfilling prophesy is unchecked and driven by nihilism, with little regard for prior probability outcomes, and (3) recovery is impacted by patients’ prior wishes and preexisting medical conditions ...

Electroencephalography (EEG) reflects brain activity and is crucial for diagnosing states such as coma and brain-death.

Electroencephalogram (EEG) is always used to diagnosis the patients consciousness clinically because it is safe and easy to be record from patients. The aim of this paper is to analysis the relations between each channel in order to find out the brain network of brain death and coma patients particularity.

2019年7月15日 · The obtained threshold (i.e. 10%) was used to construct graphs in the patient group. The findings showed that coma patients have lower number of significant connections with approximately 50% of them not fulfilling the criteria of the fixed density threshold.

Coma patients exhibit a complete absence of wakefulness and are unable to consciously feel, speak or move. Comas can be derived by natural causes, or can be medically induced. Clinically, a coma can be defined as the consistent inability to follow a one-step command.

The current state-of-the-art on COMA is Pi-net-linear. See a full comparison of 1 papers with code.